scholarly journals Numerical simulation of magma intrusion on the thermal evolution of low rank coal

Author(s):  
Jingyu Jiang ◽  
Ke Zhao ◽  
Yuanping Cheng ◽  
Shaojie Zheng ◽  
Shuo Zhang ◽  
...  

Abstract To study the effect of magma intrusion on the thermal evolution of low-rank coal with high water content, the mathematical relationship between water content variation and thermal conductivity of low-rank coal was analyzed by COMSOL Multiphysics numerical simulation and field validation. Taking Daxing Mine in Tiefa coalfield as the research background, the effects of magma finite time intrusion mechanism and water volatilization in coal on thermal evolution and organic maturity of coal seam are investigated in this paper. The results show that as the sill thickness increases, the thermal evolution temperature of the coal seam increases, the required thermal evolution time increases and the final retention temperature increases after the coal seam is cooled down. Approaching the magma, the maximum temperature that the coal seam can reach increases, the maximum temperature lasts longer, and the final temperature retained by the coal seam becomes higher. The increase of water content of coal makes the thermal conductivity increase, and the rate of heat transfer from coal seam is accelerated, and more heat is transferred to distant places in the same time. At the same time, the heat lost by the magma in the same time increases, the time required for the cooling of the magma decreases, and the maximum temperature reached by the underlying coal seam is significantly lower. The presence of moisture weakens the thermal evolution of the magma to the coal seam and reduces the expected maturity of the coal. The results of average random vitrinite reflectance (Ro) and moisture examination of coal samples collected at the Daxing Mine site verified the numerical simulation results of magma thermal evolution.

2021 ◽  
Vol 80 (17) ◽  
Author(s):  
Jingyu Jiang ◽  
Ke Zhao ◽  
Yuanping Cheng ◽  
Shaojie Zheng ◽  
Shuo Zhang ◽  
...  

Author(s):  
Anne D. W. Nuijten ◽  
Inge Hoff ◽  
Knut V. Høyland

Heated pavements are used as an alternative to removing snow and ice mechanically and chemically. Usually a heated pavement system is automatically switched on when snowfall starts or when there is a risk of ice formation. Ideally, these systems run based on accurate predictions of surface conditions a couple of hours ahead of time, for which both weather forecasts and reliable surface temperature predictions are needed. The effective thermal conductivity of the snow layer is often described as a function of its density. However the thermal conductivity of a snow layer can vary considerably, not only for snow samples with a different density, but also for snow samples with the same density, but with a variation in the liquid water content. In this paper a physical temperature and surface condition model is described for snow-covered roads. The model is validated for an entire winter season on a heated pavement in Norway. Two different models to describe the thermal conductivity through the snow layer were compared. Results show that the thermal conductivity of the snow layer can be best described as a function of the density for snow with a low liquid water content. For snow with a high water content, the thermal conductivity can be best described as a function of the volume fractions and thermal conductivity of ice, water, and air, in which air and ice are modeled as a series system and water and air/ice in parallel.


Fuel ◽  
2016 ◽  
Vol 185 ◽  
pp. 478-490 ◽  
Author(s):  
Kevin Yohanes Lisandy ◽  
Jeong-Woo Kim ◽  
Ho Lim ◽  
Seung-Mo Kim ◽  
Chung-Hwan Jeon

2017 ◽  
Vol 27 (4) ◽  
pp. 669-673 ◽  
Author(s):  
Peiling Zhou ◽  
Yinghua Zhang ◽  
Zhi'an Huang ◽  
Yukun Gao ◽  
Hui Wang ◽  
...  

Fuel ◽  
2020 ◽  
Vol 278 ◽  
pp. 118267
Author(s):  
Cuiliu Zhang ◽  
Guangwei Wang ◽  
Xiaojun Ning ◽  
Jianliang Zhang ◽  
Chuan Wang

2017 ◽  
Vol 740 ◽  
pp. 163-172 ◽  
Author(s):  
Kamariah Md Isa ◽  
Kahar Osman ◽  
Nor Fadzilah Othman ◽  
Nik Rosli Abdullah ◽  
Mohd Norhakem Hamid

A multiphase Eulerian- eulerian model integrating the kinetic theory of granular particle (KTGF) was used to simulate the gasification of Malaysian low- rank coal (LRC), Merit- Pila inside a bubbling fluidised bed (BFB) gasifier. The model used includes the bubbling phenomenon and gasificationprocess that occurs inside a BFB gasifier. The gasification process simulated includes drying, heterogeneous reactions of char combustion, devolatilization, water- gas shift reaction, Boudourd reactionand gas phase homogenous reactions. The results from this model are compared to the results of Merit-Pila coal gasification, from which experimental data is available. Comparison of the pressure profile shows good agreement with experimental results. The temperature distribution shows that the maximum temperature is around 1100K which also shows good agreement with experimental values which is 1087K. Besides that, three out of six species mass fraction which is N2, H2 and CH4 produced similar values with experimental values. This shows the simulation conducted was capable to predict the gasification process of Low- rank coal, namely Merit-Pila.


2013 ◽  
Vol 788 ◽  
pp. 233-236
Author(s):  
Yong Jie Zhao ◽  
Xiang Wei Kong ◽  
Bin Li ◽  
Zi Cheng Zhang

Low rank coal is an important energy resource in the world, particularly in the developing countries. But its high water content causes a waste of energy and serious environmental pollution, which restricts its applications. In order to improve the efficiency of the low rank coal and reduce pollution, the drying processes for low rank coal are urgently needed. This paper presented a review of the general drying processes for low rank coal. In the review, the newly-developed vibrating fluidized bed (VFB) drying process was emphasized. This novel VFB drying process which can be used in large-scale industrial production has several advantages, such as high speed, high drying intensity and low pollution. Moreover, two VFB researches reported by the authors were also introduced. In these researches, the dynamic behavior of VFB was simulated by two commercial codes of ADAMS and ANSYS separately. According to the simulation results, the exciting force and the structure of sieve box were optimized.


Author(s):  
Diyajeng Luluk Karlina ◽  
Ilham Bintang

Coal that is often used in Steam Power Plants is a type of Low Rank Coal (Low Rank Coal) which has a caloric value of 4200 kcal / kg with a moisture content of 40%.  Coal with water content that reaches 40% can cause the efficiency process of the plant to be not optimal. Low efficiency values will cause the use of electricity to increase and the combustion process to be incomplete so that it can cause many losses to the Steam Power Plant. From this problem, there needs to be a process of drying coal in order to reduce water content, the technology used in the process of drying coal is coal dryer. Design of coal dryer required source of steam or heat for drying process. Steam Power Plant there is steam waste extraction from turbines that can be used as a heat source to heat coal. If this extraction vapor is utilized, it can reduce the load from the condenser. The amount of turbine extraction steam that can be received by the coal dryer depends on the design of the coal dryer, because the design process of the coal dryer will affect the availability of energy in the coal dryer. This paper will discuss about optimization calculation with genetic algorithm method, to obtain the best design of coal dryer so that the heat received can be maximized so that the drying process becomes faster.


Author(s):  
K.A. Baublys ◽  
H. Hofmann ◽  
J.S. Esterle ◽  
D.I. Cendón ◽  
S. Vink ◽  
...  

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